Mayuresh Chougule

Designed and developed a comprehensive Power BI dashboard to analyze and visualize sales, performance, and regional insights for Nike shoes.

Key Features:

• Overview Page: Displayed a catalog of various Nike shoes with their names and images for easy identification.
• Product Insights Page: Provided detailed insights for each shoe, including name, image, price, and customer reviews, offering an in-depth understanding of product popularity and pricing.
• Performance Page: Visualized:Regional sales performance with detailed analytics.
  Monthly sales trends and corresponding profits.
  Shoe-specific metrics complemented by visuals for better interpretation.
• Geographical Insights Page: Mapped sales data to highlight performance by region, enabling identification of high-performing markets.

• Project was based on summarizing the News from various platform and displaying the important News in a Summarized Way.
• For this project I helped to implement technologies like Natural Language Processing,Latent Semantic Analysis,Application Programming Interface

This project aimed to address the growing challenge of deepfake videos by developing a detection system combining advanced neural networks, ResNeXt for spatial feature extraction and LSTM for temporal analysis. The hybrid model effectively identified inconsistencies in facial expressions, lighting, and motion between frames. Key contributions included:

• Implementing preprocessing pipelines for video corruption checks, frame extraction, and dataset balancing.